The table below lists the height h (in cm), the age a (in years), the gender g (1="Male", 0="Female"), and the weight w (in kg) of some college students.Height Age Gender Weight212220We wish to fit a linear function of the formto these data. Find the best approximation of this form, using least squares.Co =C1C₂3||||168156181162172 20282200101f(t) = co+c₂h+c₂a + c3g6451885777

Answered: Image /qna-images/answer/8c354548-fcee-4de4-b9f4-0c4e86d63963.jpg

The table below lists the height h (in cm), the age a (in years), the gender g (1="Male", 0="Female"), and the weight w (in kg) of some college students. Height Age Gender Weight 168 21 156 22 181 20 162 172 We wish to fit a linear function of the form to these data. Find the best approximation of this form, using least squares. Co J || || || || 22 20 0 0 1 0 1 f(t)=co+c₂h+c₂a+€3g 64 51 88 57 77

The table below lists the height h (in cm), the age a (in years), the gender g (1="Male", 0="Female"), and the weight w (in kg) of some college students. Height Age Gender Weight 168 21 156 22 181 20 162 172 We wish to fit a linear function of the form to these data. Find the best approximation of this form, using least squares. Co J || || || || 22 20 0 0 1 0 1 f(t)=co+c₂h+c₂a+€3g 64 51 88 57 77

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

See similar textbooks

Similar questions

The following table shows, for a certain town, the number N of real estate units sold as a function of t where t means the number of years after 2003. t=years after 2003 N=number of real estate 1 3 4 5 6. 7 732 820 896 801 713 563 590 599 units sold a. Use regression to find a cubic model for the data. (Keep 3 decimal places for your regression parameters.) Choose one: Answer: A. N=7.106t3 – 81.876t2 + 208.536t + 720.803 B. N = 8.106t³ – 82.876t² + 208.539t + 789.278 C. N =9.206t³ – 75.7416t² + 208.532t + 871.899 b. Use the model to estimate the number of units sold in the year 2013. (Hint: 2013 is 10 years after 2003. Round your answer to the nearest whole number.) Answer: units
The follow table shows total dollar sales (in thousands) for a local retailer for various years. Year 2019 2020 2021 2022 2023 Sales ($) 16 21 26 31 36 a) What was the dollar amount of sales for 2022? $ b) By how much did sales increase each year? $ c) Find a linear function S(x) that models the above data, where x is the number of years after 2018 (so that the year 2019 corresponds to x = 1, the year 2020 corresponds to x = 2, and so on) and S(x) is the dollar amount of sales in thousands. S(x) = X + d) Use S(x) to predict sales in 2025. $ If needed, round answer to 5 decimal plates. Enter DNE for Does Not Exist, oo for Infinity Question Help: Message instructor Submit Question thousand thousand thousand
X 0 1 2 3 Y 1 2 9 28 Find the linear spline function for the table values.
Let f(z) be the height of a maple tree in inches and z the number of years since 2000. A linear model for the data is f(z)= 9.44r +84.182. %3D 220 210 200 190 180 170 160 150 140 130 120 10 100 90 80 70 60 50 12 15 A) To the nearest inch, estimate the height of the maple tree in 2015. inches B) Use the equation to find the year in which the tree will be 232 inches tall. Question Help: Message instructor Submit Question hp
Use least-squares regression to fit a straight line to the following data. Calculate slope and itercept of the fit function. x 1 2 3 4 5 6 7 y 1 1.5 2 3 4 5 8
The table lists the average tuition and fees at private colleges and universities for selected years. Year 1985 1990 1995 2000 2008 5311 25,115 Tuition and Fees (in dollars) 9375 SO 12,418 (a) Find the equation of the least-squares regression line that models the data. y 840.450 (Type the slope as a decimal rounded to three decimal places. Round the y-intercept to the nearest integer.) (b) Graph the data and the regression line in the same viewing window using the parameters given below the graph choices. Choose the correct graph below. OA. O B. o HE RO OC. 16,230 A o ƠN
The table below lists the height h (in cm), the age a (in years), the gender g (0="Female", 1="Male"), and the weight w (in kg) of some college students. Height Age Gender Weight 20 82 52 55 85 92 172 158 21 161 22 177 21 184 20 1 0 0 1 1 We wish to fit a linear function of the form W = w(h, a, g) = w = c +c₁h+c₂a + c38 which predicts the weight from the rest of the data. Find the best approximation of this function, using least squares.
he following data represents the annual sales of a Digitech Automation products SAOG. Year 2014 2015 2016 2017 2018 Sales (in Millions) OMR 380 440 520 396 514 Use method of least squares to calculate the trend values and the forecast for the future period. The value of 'a' in the linear equation Y = a + bx is: a. 540 b. 450 c. 504 d. 405
he table shows the minimum wage rates for the United States during different years. Year 1978 1979 1980 1990 1991 1996 1997 2007 2008 2009 Minimum hourly wage ($) 2.65 2.90 3.35 3.80 4.25 4.75 5.15 5.85 6.55 7.25 Write the least squares regression equation that models the data. Let x = time in years since 1900 and let y = minimum hourly wage. Use the equation to estimate the minimum hourly wage of a U.S. worker in 2025. Show your work. Answer: